Determination of order quantity for perishable products by using the support vector machine

Autor:	Po-Chien Tsai, Jia-Yen Huang
Rok vydání:	2011
Předmět:	Engineering Point of sale Warning system Operations research Chain store business.industry Substitute good computer.software_genre Industrial and Manufacturing Engineering Profit (economics) Support vector machine Taguchi methods Portfolio Operations management business computer
Zdroj:	Journal of the Chinese Institute of Industrial Engineers. 28:425-436
ISSN:	2151-7606 1017-0669
DOI:	10.1080/10170669.2011.599432
Popis:	Daily meal boxes are perishable goods which, if not sold within their limited lifetimes, will be discarded. Convenience stores generally make their order decisions according to point of sale (POS) analysis. However, due to the effects of uncertain factors, such as the weather, temperature, the number of customers, and promotion activity of substitute products, the order quantity based on POS may not actually match with real demand, especially for perishable items. In this study, a novel warning system is established by employing the support vector machine (SVM) to modify the order quantity; and the Taguchi method is applied to determine the optimal portfolio of the factors that may influence the prediction accuracy of the SVM. Using actual data from a convenience store, which is a part of the President Chain Store Corporation in Taiwan, the prediction accuracy of the warning system was evaluated. Through numerical experiments, that the proposed methodology can significantly raise the profit is confirmed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::96ff81cc067760d9efc662ddd228e639 https://doi.org/10.1080/10170669.2011.599432 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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